CellShape: A user-friendly image analysis tool for quantitative visualization of bacterial cell factories inside

2016 ◽  
Vol 12 (2) ◽  
pp. 1600323 ◽  
Author(s):  
Ángel Goñi-Moreno ◽  
Juhyun Kim ◽  
Víctor de Lorenzo
Keyword(s):  
Image Analysis ◽  
Bacterial Cell ◽  
Analysis Tool ◽  
Cell Factories ◽  
Quantitative Visualization ◽  
User Friendly

scholarly journals The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms

Cosmetics ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 67
Author(s):  
Perry Xiao ◽  
Xu Zhang ◽  
Wei Pan ◽  
Xiang Ou ◽  
Christos Bontozoglou ◽  
...  
Keyword(s):  
Machine Learning ◽  
Image Analysis ◽  
Imaging Techniques ◽  
Learning Algorithms ◽  
Research Work ◽  
Software Tool ◽  
Machine Learning Algorithms ◽  
Analysis Tool ◽  
Skin Imaging ◽  
User Friendly

We present our latest research work on the development of a skin image analysis tool by using machine-learning algorithms. Skin imaging is very import in skin research. Over the years, we have used and developed different types of skin imaging techniques. As the number of skin images and the type of skin images increase, there is a need of a dedicated skin image analysis tool. In this paper, we report the development of such software tool by using the latest MATLAB App Designer. It is simple, user friendly and yet powerful. We intend to make it available on GitHub, so that others can benefit from the software. This is an ongoing project; we are reporting here what we have achieved so far, and more functions will be added to the software in the future.

scholarly journals EpiGraph: an open-source platform to quantify epithelial organization

2019 ◽  
Author(s):  
Pablo Vicente-Munuera ◽  
Pedro Gómez-Gálvez ◽  
Robert J Tetley ◽  
Cristina Forja ◽  
Antonio Tagua ◽  
...  
Keyword(s):  
Image Analysis ◽  
Open Access ◽  
Supplementary Information ◽  
Analysis Tool ◽  
Distribution Analysis ◽  
Supplementary Data ◽  
Programming Skills ◽  
User Friendly ◽  
Degree Of Order

Abstract Summary Here we present EpiGraph, an image analysis tool that quantifies epithelial organization. Our method combines computational geometry and graph theory to measure the degree of order of any packed tissue. EpiGraph goes beyond the traditional polygon distribution analysis, capturing other organizational traits that improve the characterization of epithelia. EpiGraph can objectively compare the rearrangements of epithelial cells during development and homeostasis to quantify how the global ensemble is affected. Importantly, it has been implemented in the open-access platform Fiji. This makes EpiGraph very user friendly, with no programming skills required. Availability and implementation EpiGraph is available at https://imagej.net/EpiGraph and the code is accessible (https://github.com/ComplexOrganizationOfLivingMatter/Epigraph) under GPLv3 license. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals EpiGraph: an open-source platform to quantify epithelial organization

2017 ◽  
Author(s):  
Pablo Vicente-Munuera ◽  
Pedro Gómez-Gálvez ◽  
Robert J. Tetley ◽  
Cristina Forja ◽  
Antonio Tagua ◽  
...  
Keyword(s):  
Image Analysis ◽  
Open Access ◽  
Analysis Tool ◽  
Distribution Analysis ◽  
Form Complex ◽  
Programming Skills ◽  
User Friendly ◽  
Degree Of Order ◽  
Different Tissues

SUMMARYDuring development, cells must coordinate their differentiation with their growth and organization to form complex multicellular structures such as tissues and organs. Healthy tissues must maintain these structures during homeostasis. Epithelia are packed ensembles of cells from which the different tissues of the organism will originate during embryogenesis. A large barrier to the analysis of the morphogenetic changes in epithelia is the lack of simple tools that enable the quantification of cell arrangements. Here we present EpiGraph, an image analysis tool that quantifies epithelial organization. Our method combines computational geometry and graph theory to measure the degree of order of any packed tissue. EpiGraph goes beyond the traditional polygon distribution analysis, capturing other organizational traits that improve the characterization of epithelia. EpiGraph can objectively compare the rearrangements of epithelial cells during development and homeostasis to quantify how the global ensemble is affected. Importantly, it has been implemented in the open-access platform FIJI. This makes EpiGraph very user friendly, with no programming skills required.

SIGN IN Welcome!Log into your account your username your password Forgot your password Privacy policy PASSWORD RECOVERY Recover your password your email Struktol Home New fast measuring method for process optimization of sucrose crystallization New fast measuring method for process optimization of sucrose crystallization

2020 ◽  
pp. 49-52
Author(s):  
Trine Aabo Andersen
Keyword(s):  
Image Analysis ◽  
Process Optimization ◽  
Crystal Size ◽  
Measuring Method ◽  
Sieve Analysis ◽  
Image Analysis System ◽  
Line System ◽  
Non Invasive ◽  
Analysis System ◽  
User Friendly

A new fast measuring method for process optimization of sucrose crystallization using image analysis based on high quality images and algorithms is introduced. With the mobile, non-invasive at-line system all steps of the sucrose crystallization can be measured to determine the crystal size distribution. The image analysis system is easy to operate and is as well an efficient laboratory solution with user-friendly and customized software. In comparison to sieve analysis, image analyses performed with the ParticleTech Solution have been proven to be reliable.

Heterologous Synthesis and Recovery of Advanced Biofuels from Bacterial Cell Factories

2018 ◽  
Vol 25 (2) ◽  
pp. 120-128 ◽  
Author(s):  
Sana Malik ◽  
Ifrah Afzal ◽  
Muhammad Aamer Mehmood ◽  
Huda Al Doghaither ◽  
Sawsan Abdulaziz Rahimuddin ◽  
...  
Keyword(s):  
Bacterial Cell ◽  
Advanced Biofuels ◽  
Cell Factories

scholarly journals Alignment of Au nanorods along de novo designed protein nanofibers studied with automated image analysis

Soft Matter ◽  
2021 ◽  
Author(s):  
Muammer Y. Yaman ◽  
Kathryn N. Guye ◽  
Maxim Ziatdinov ◽  
Hao Shen ◽  
David Baker ◽  
...  
Keyword(s):  
Image Analysis ◽  
De Novo ◽  
Automated Image Analysis ◽  
Analysis Tool ◽  
Au Nanorods

In this study, we focus on exploring the directional assembly of anisotropic Au nanorods along de novo designed 1D protein nanofiber templates using automated image analysis tool.

scholarly journals Identifying biological landmarks using a novel cell measuring image analysis tool: Cell-o-Tape

Plant Methods ◽  
2012 ◽  
Vol 8 (1) ◽  
pp. 7 ◽  
Author(s):  
Andrew P French ◽  
Michael H Wilson ◽  
Kim Kenobi ◽  
Daniela Dietrich ◽  
Ute Voss ◽  
...  
Keyword(s):  
Image Analysis ◽  
Analysis Tool

scholarly journals Content analytics for curriculum review: A learning analytics use case for exploration of learner context

2020 ◽  
Author(s):  
Leah P. Macfadyen
Keyword(s):  
Text Analysis ◽  
Student Writing ◽  
Analysis Tool ◽  
Use Case ◽  
Curriculum Analysis ◽  
Curriculum Review ◽  
Curriculum Renewal ◽  
Text Content ◽  
User Friendly ◽  
Traditional Approaches

Curriculum analysis is a core component of curriculum renewal. Traditional approaches to curriculum analysis are manual, slow and subjective, but some studies have suggested that text analysis might usefully be employed for exploration of curriculum. This concise paper outlines a pilot use case of content analytics to support curriculum review and analysis. I have co-opted Quantext – a relatively user-friendly text analysis tool designed to help educators explore student writing – for analysis of the text content of the 17 courses in our online master’s program. Quantext computed descriptive metrics and readability indices for each course and identified top keywords and ngrams per course. Compilation and comparison of these revealed frequent curricular topics and networks of thematic relationships between courses, in ways that both individual educators and curriculum committees can interpret and use for decision-making. Future Quantext features will allow even more sophisticated identification of curricular gaps and redundancies.

Automated image analysis tool to measure microbial growth on solid cultures

2018 ◽  
Vol 151 ◽  
pp. 426-430 ◽  
Author(s):  
Francisco Javier Ancin-Murguzur ◽  
Aitor Barbero-López ◽  
Sari Kontunen-Soppela ◽  
Antti Haapala
Keyword(s):  
Image Analysis ◽  
Microbial Growth ◽  
Automated Image Analysis ◽  
Analysis Tool
Sign in / Sign up

Export Citation Format

Share Document